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SOTA
Object Detection
Object Detection On Eventped
Object Detection On Eventped
Metrics
AP
Results
Performance results of various models on this benchmark
Columns
Model Name
AP
Paper Title
MMPedestron
79.0
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
FPN-Fusion
61.1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions
ProEN
60.1
Multimodal Object Detection via Probabilistic Ensembling
CMX
58.0
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Early-Fusion
47.4
Multispectral Deep Neural Networks for Pedestrian Detection
HRFuser
46.0
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
0 of 6 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Object Detection
Object Detection On Eventped
Object Detection On Eventped
Metrics
AP
Results
Performance results of various models on this benchmark
Columns
Model Name
AP
Paper Title
MMPedestron
79.0
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
FPN-Fusion
61.1
Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions
ProEN
60.1
Multimodal Object Detection via Probabilistic Ensembling
CMX
58.0
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Early-Fusion
47.4
Multispectral Deep Neural Networks for Pedestrian Detection
HRFuser
46.0
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
0 of 6 row(s) selected.
Previous
Next
Object Detection On Eventped | SOTA | HyperAI